开源项目

laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

更新：2026/10/12 05:34:49首次收录：2026/10/12 05:34:49原始来源

language: Jupyter Notebook
stars: 47
forks: 28
license: null
homepage: https://www.udemy.com/course/agentic-ai-private-agentic-rag-with-langgraph-and-ollama/?referralCode=CF5DEFA2F51FC6A3CAFE
source_updated_at: 2026-10-07T11:42:13Z

详细说明：

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

描述来源标记：原始/编辑整理

如何使用：

在 GitHub 打开仓库 laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama，按 README 安装与使用。Stars：47。

同类对比：

词条	关系	简介	选择理由
laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama	当前	—	基准对照
LangChain	相关	The agent engineering platform.	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
LlamaIndex	相关	LlamaIndex is the document processing platform for AI	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
MCP 官方示例服务器集合	相关	Model Context Protocol 官方维护的参考 MCP Server 集合。	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
ComfyUI	相关	AI 相关工具/产品：ComfyUI。	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
AutoGen	相关	AI 相关工具/产品：AutoGen。	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
NousResearch/hermes-agent	相关	The agent that grows with you	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
firecrawl/firecrawl	相关	Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用
huggingface/transformers	相关	🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.	与「laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama」相关，可按场景对照选用

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